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Using the attached data ("Car Weight and MPG.sav"), compute and interpret the relationship between:

• Car Weight (“Weight”) and miles per gallon consumed (“CityMPG”)

For this regression analysis, state the following:

• A clear research question appropriate for a linear regression: (e.g., Is X a significant predictor of Y?")
• Null and research hypotheses that align clearly and neatly with your RQ.
• Description of the variables used.
  • Your dependent and independent variables. (Clearly explain your rationale as to why which is which.)
  • State the sample size, along with the mean,  standard deviation, and range (min & max) for each variable, in a paragraph format. (Do  not just include a table, and not talk about it.)
• State the rationale for applying regression analysis in this investigation using appropriate readings and resources in Module 5. (Please cite specific references.)
• Findings in an APA format. (This includes the wording of the finding and the tables/figures included.)       
  • Use the following link to provide the template: https://www.slideshare.net/plummer48/reporting-a-single-linear-regression-in-apa
  • Also add a clear interpretation of the R-square value in your finding.  See last page:   https://www.sheffield.ac.uk/polopoly_fs/1.531434!/file/MASH_simple_linear_regression_SPSS.pdf
  • Note: Even if the p-value in the SPSS output shows ".000," write it out as "p < .001."
• Write out your regression equation, and state the predicted miles per gallon for cars that weighs 3,000 and 4,000 pounds. (Clearly show the calculations and steps involved.)
• Include the SPSS output in your appendix.